Triple
T14283905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Yagher Productions |
E354118
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | makeup effects company |
C33731
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: makeup effects company Context triple: [Kevin Yagher Productions, instanceOf, makeup effects company]
-
A.
makeup brand
A makeup brand is a company or label that develops, markets, and sells cosmetic products designed to enhance or alter a person's appearance.
-
B.
makeup artist
A makeup artist is a professional who applies cosmetics and related products to enhance, transform, or create specific looks for clients in contexts such as fashion, film, theater, photography, and personal events.
-
C.
special effects makeup artist
A special effects makeup artist is a professional who designs and applies prosthetics, cosmetics, and other materials to transform performers’ appearances for film, television, theater, and live events, often creating realistic injuries, creatures, or fantastical characters.
-
D.
cosmetics manufacturer
A cosmetics manufacturer is a company that formulates, produces, and packages beauty and personal care products such as makeup, skincare, and fragrances for distribution to retailers or consumers.
-
E.
beauty conglomerate
A beauty conglomerate is a large parent company that owns, manages, and coordinates multiple beauty and personal care brands across diverse markets and product categories.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:10 a.m.